Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Jukka Riekki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jukka Riekki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jukka Riekki more than expected).
This network shows the impact of papers produced by Jukka Riekki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jukka Riekki. The network helps show where Jukka Riekki may publish in the future.
Co-authorship network of co-authors of Jukka Riekki
This figure shows the co-authorship network connecting the top 25 collaborators of Jukka Riekki.
A scholar is included among the top collaborators of Jukka Riekki based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Jukka Riekki. Jukka Riekki is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Sauvola, J., Sasu Tarkoma, Mika Klemettinen, Jukka Riekki, & David Doermann. (2024). Future of software development with generative AI. Automated Software Engineering. 31(1).35 indexed citations breakdown →
Savaglio, Claudio, Teemu Leppänen, Wilma Russo, Jukka Riekki, & Giancarlo Fortino. (2018). Re-Engineering IoT Systems through ACOSO-Meth: the IETF CoRE based Agent Framework Case Study.. 81–89.1 indexed citations
Rahmani, Rahim, et al.. (2016). Gap-based Caching for ICN-based Vehicular Networks. KTH Publication Database DiVA (KTH Royal Institute of Technology).2 indexed citations
Su, Xiang, Jukka Riekki, Janne Haverinen, Johanna Nieminen, & Jukka K. Nurminen. (2013). Enabling Semantics for the Internet of Things Data representations and energy consumptions. The Internet of Things. 28–30.1 indexed citations
13.
Hosio, Simo, Vassilis Kostakos, Hannu Kukka, et al.. (2012). From School Food to Skate Parks in a Few Clicks: Using Public Displays to Bootstrap Civic Engagement of the Young. Lecture notes in computer science.2 indexed citations
Koskela, Timo, et al.. (2009). Analysis of connectivity and session management for mobile peer-to-peer applications. Journal of Multimedia. 5(2). 81–112.2 indexed citations
17.
Riekki, Jukka, Xiang Su, & Janne Haverinen. (2008). Connecting resource-constrained robots to knowledge-based systems. International Conference on Modelling, Identification and Control. 381–386.2 indexed citations
18.
Riekki, Jukka, et al.. (2005). Requesting Services by Touching Objects in the Environment.3 indexed citations
19.
Riekki, Jukka, et al.. (2004). Enabling Context-Aware Services for Mobile Users.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.